Comparisons

OpenAI GPT-OSS 120B vs Qwen2.5 7B Instruct Turbo

On provider list prices, Qwen2.5 7B Instruct Turbo costs $0.30 per million input tokens against $0.15 for OpenAI GPT-OSS 120B: effectively level. Output is $0.30 against $0.60 (2.0x). On Allocate both bill at list plus the 7% transaction fee.

OpenAI GPT-OSS 120B Qwen2.5 7B Instruct Turbo
LabOpenAIQwen
AccessOpen weightsOpen weights
Context window128K tokens32K tokens
List price, input$0.15 / M tokens$0.3 / M tokens
List price, output$0.6 / M tokens$0.3 / M tokens
Cached inputn/an/a
LicenseCustom licenseQwen license
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $390 a month on OpenAI GPT-OSS 120B and $465 on Qwen2.5 7B Instruct Turbo at list: a gap of $75, or 1.2x.

OpenAI GPT-OSS 120B reads 128K tokens per request against 32K for Qwen2.5 7B Instruct Turbo, 4.0x the window. That decides which one can take whole documents without splitting them.

OpenAI GPT-OSS 120B$0.15$0.60
Qwen2.5 7B Instruct Turbo$0.30$0.30
InputOutput

Choose OpenAI GPT-OSS 120B for

  • The lower list price ($0.15 in / $0.60 out per M tokens)
  • The longer context window (128K vs 32K tokens)
OpenAI GPT-OSS 120B details

Choose Qwen2.5 7B Instruct Turbo for

  • Training toward a model you own
Qwen2.5 7B Instruct Turbo details

Common questions

Which is cheaper, OpenAI GPT-OSS 120B or Qwen2.5 7B Instruct Turbo?

OpenAI GPT-OSS 120B, on this workload shape. At list prices it is $0.15/$0.60 per million tokens in and out against $0.30/$0.30 for Qwen2.5 7B Instruct Turbo. Billed on Allocate: $0.16/$0.64 against $0.32/$0.32, list plus 7%.

Which has the bigger context window?

OpenAI GPT-OSS 120B: 131,072 tokens (128K) against 32,768 (32K) for Qwen2.5 7B Instruct Turbo.

Can I fine-tune OpenAI GPT-OSS 120B or Qwen2.5 7B Instruct Turbo?

Both publish open weights (OpenAI GPT-OSS 120B: Custom license; Qwen2.5 7B Instruct Turbo: Qwen license), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Run the numbers on your workload

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.